jianglin954 Goto Github PK
Name: Jianglin (Johnny) Lu
Type: User
Company: Northeastern University
Bio: Ph.D. student at SmileLab, NEU.
Location: Boston
Name: Jianglin (Johnny) Lu
Type: User
Company: Northeastern University
Bio: Ph.D. student at SmileLab, NEU.
Location: Boston
Code for ALBEF: a new vision-language pre-training method
A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models
Adversarial attacks and defenses on Graph Neural Networks.
Paper Lists for Graph Neural Networks
Papers about graph transformers.
Collect High Dynamic Range Imaging Related Papers and Codes
Papers on the topic of large language models (LLMs) on graphs
A curated list of resources for Learning with Noisy Labels
Papers on the topic of multimodal learning with graphs
This is a collection of awesome papers I have read (carefully or roughly) in the fields of computer vision, machine learning, pattern recognition, and data mining (where the notes only represent my personal views). The collection will be continuously updated, so stay tuned. Any suggestions and comments are welcome ([email protected]).
Collection of advice for prospective and current PhD students
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
Repository for benchmarking graph neural networks
CogDL: An Extensive Toolkit for Deep Learning on Graphs (Graph Neural Networks, GNN)
Let us control diffusion models!
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
A pytorch adversarial library for attack and defense methods on images and graphs
Python package built to ease deep learning on graph, on top of existing DL frameworks.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
A library for graph deep learning research
code for the paper "DiGress: Discrete Denoising diffusion for graph generation"
Make some changes to original DoRA projects
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Must-read papers on graph neural networks (GNN)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.